{"id":"https://openalex.org/W2773926527","doi":"https://doi.org/10.26615/978-954-452-049-6_098","title":"A Graph-based Text Similarity Measure That Employs Named Entity Information","display_name":"A Graph-based Text Similarity Measure That Employs Named Entity Information","publication_year":2017,"publication_date":"2017-11-10","ids":{"openalex":"https://openalex.org/W2773926527","doi":"https://doi.org/10.26615/978-954-452-049-6_098","mag":"2773926527"},"language":"en","primary_location":{"id":"doi:10.26615/978-954-452-049-6_098","is_oa":true,"landing_page_url":"https://doi.org/10.26615/978-954-452-049-6_098","pdf_url":"https://doi.org/10.26615/978-954-452-049-6_098","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RANLP 2017 - Recent Advances in Natural Language Processing Meet Deep Learning","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.26615/978-954-452-049-6_098","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032888405","display_name":"Leonidas Tsekouras","orcid":null},"institutions":[{"id":"https://openalex.org/I4387152169","display_name":"Institute of Informatics & Telecommunications","ror":"https://ror.org/0396t6k89","country_code":null,"type":"facility","lineage":["https://openalex.org/I203474044","https://openalex.org/I4387152169"]},{"id":"https://openalex.org/I203474044","display_name":"National Centre of Scientific Research \"Demokritos\"","ror":"https://ror.org/038jp4m40","country_code":"GR","type":"facility","lineage":["https://openalex.org/I203474044"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Leonidas Tsekouras","raw_affiliation_strings":["Institute of Informatics and Telecommunications, N.C.S.R. \"Demokritos\", Greece,"],"affiliations":[{"raw_affiliation_string":"Institute of Informatics and Telecommunications, N.C.S.R. \"Demokritos\", Greece,","institution_ids":["https://openalex.org/I203474044","https://openalex.org/I4387152169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056484904","display_name":"Iraklis Varlamis","orcid":"https://orcid.org/0000-0002-0876-8167"},"institutions":[{"id":"https://openalex.org/I32762134","display_name":"Harokopio University of Athens","ror":"https://ror.org/02k5gp281","country_code":"GR","type":"education","lineage":["https://openalex.org/I32762134"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Iraklis Varlamis","raw_affiliation_strings":["Department of Informatics and Telematics, Harokopio University of Athens, Greece,"],"affiliations":[{"raw_affiliation_string":"Department of Informatics and Telematics, Harokopio University of Athens, Greece,","institution_ids":["https://openalex.org/I32762134"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048495248","display_name":"George Giannakopoulos","orcid":"https://orcid.org/0000-0003-2459-589X"},"institutions":[{"id":"https://openalex.org/I4387152169","display_name":"Institute of Informatics & Telecommunications","ror":"https://ror.org/0396t6k89","country_code":null,"type":"facility","lineage":["https://openalex.org/I203474044","https://openalex.org/I4387152169"]},{"id":"https://openalex.org/I203474044","display_name":"National Centre of Scientific Research \"Demokritos\"","ror":"https://ror.org/038jp4m40","country_code":"GR","type":"facility","lineage":["https://openalex.org/I203474044"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"George Giannakopoulos","raw_affiliation_strings":["Institute of Informatics and Telecommunications, N.C.S.R. \"Demokritos\", Greece,"],"affiliations":[{"raw_affiliation_string":"Institute of Informatics and Telecommunications, N.C.S.R. \"Demokritos\", Greece,","institution_ids":["https://openalex.org/I203474044","https://openalex.org/I4387152169"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032888405"],"corresponding_institution_ids":["https://openalex.org/I203474044","https://openalex.org/I4387152169"],"apc_list":null,"apc_paid":null,"fwci":0.7801,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.80186485,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"765","last_page":"771"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8148200511932373},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6768479347229004},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.6001672744750977},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5553308725357056},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5283349752426147},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5233663320541382},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.516182005405426},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.47610175609588623},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.47019609808921814},{"id":"https://openalex.org/keywords/n-gram","display_name":"n-gram","score":0.4591715633869171},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.4456444978713989},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4325453042984009},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3344227969646454},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.2983095049858093},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.20770585536956787}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8148200511932373},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6768479347229004},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.6001672744750977},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5553308725357056},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5283349752426147},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5233663320541382},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.516182005405426},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.47610175609588623},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47019609808921814},{"id":"https://openalex.org/C117884012","wikidata":"https://www.wikidata.org/wiki/Q94489","display_name":"n-gram","level":3,"score":0.4591715633869171},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.4456444978713989},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4325453042984009},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3344227969646454},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.2983095049858093},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.20770585536956787},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.26615/978-954-452-049-6_098","is_oa":true,"landing_page_url":"https://doi.org/10.26615/978-954-452-049-6_098","pdf_url":"https://doi.org/10.26615/978-954-452-049-6_098","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RANLP 2017 - Recent Advances in Natural Language Processing Meet Deep Learning","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.26615/978-954-452-049-6_098","is_oa":true,"landing_page_url":"https://doi.org/10.26615/978-954-452-049-6_098","pdf_url":"https://doi.org/10.26615/978-954-452-049-6_098","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RANLP 2017 - Recent Advances in Natural Language Processing Meet Deep Learning","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2773926527.pdf","grobid_xml":"https://content.openalex.org/works/W2773926527.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W121356181","https://openalex.org/W227573732","https://openalex.org/W1566018662","https://openalex.org/W1577929347","https://openalex.org/W1923316804","https://openalex.org/W1969183489","https://openalex.org/W2010450725","https://openalex.org/W2020278455","https://openalex.org/W2045254372","https://openalex.org/W2110189854","https://openalex.org/W2137256672","https://openalex.org/W2148524305","https://openalex.org/W2169279737","https://openalex.org/W2171313960","https://openalex.org/W2253936196","https://openalex.org/W4231488796","https://openalex.org/W4297936506","https://openalex.org/W6604908469","https://openalex.org/W6642519785","https://openalex.org/W6661905242"],"related_works":["https://openalex.org/W2906970013","https://openalex.org/W3126081632","https://openalex.org/W2319693127","https://openalex.org/W308539617","https://openalex.org/W2072263576","https://openalex.org/W2474567666","https://openalex.org/W1940044583","https://openalex.org/W2806903871","https://openalex.org/W4320802053","https://openalex.org/W2214033462"],"abstract_inverted_index":{"Text":[0],"comparison":[1],"is":[2,59],"an":[3],"interesting":[4],"though":[5],"hard":[6],"task,":[7],"with":[8,73],"many":[9],"applications":[10],"in":[11,61],"Natural":[12],"Language":[13],"Processing.":[14],"This":[15],"work":[16],"introduces":[17],"a":[18,41,62,86],"new":[19],"text-similarity":[20],"measure,":[21],"which":[22],"employs":[23],"named-entities'":[24],"information":[25],"extracted":[26],"from":[27],"the":[28,31,46,55,70,80,93,102,108,112],"texts":[29],"and":[30,45,51],"ngram":[32],"graphs'":[33],"model":[34],"for":[35,49,92],"representing":[36],"documents.":[37],"Using":[38],"OpenCalais":[39],"as":[40],"namedentity":[42],"recognition":[43],"service":[44],"JIN-SECT":[47],"toolkit":[48],"constructing":[50],"managing":[52],"n-gram":[53,103],"graphs,":[54],"text":[56,63],"similarity":[57,96],"measure":[58],"embedded":[60],"clustering":[64,75],"algorithm":[65],"(k-Means).":[66],"The":[67],"evaluation":[68],"of":[69,82,95,111],"produced":[71],"clusters":[72],"various":[74],"validity":[76],"metrics":[77],"shows":[78],"that":[79,98],"extraction":[81],"named":[83],"entities":[84],"at":[85],"first":[87],"step":[88],"can":[89],"be":[90],"profitable":[91],"time-performance":[94],"measures":[97],"are":[99],"based":[100],"on":[101],"graph":[104],"representation":[105],"without":[106],"affecting":[107],"overall":[109],"performance":[110],"NLP":[113],"task.":[114]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2017-12-22T00:00:00"}
